most citedPhysics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward

5 citations · 5 across the 1 of their papers we have counts for

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2 papers

eess.SY2023★ 5 cited

Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward

Mehdi Jabbari Zideh, Paroma Chatterjee, Anurag K. Srivastava

Advancements in digital automation for smart grids have led to the installation of measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and smart meters…

eess.SY2023

Multi-agent Deep Reinforcement Learning for Distributed Load Restoration

Linh Vu, Tuyen Vu, Thanh-Long Vu +1

This paper addresses the load restoration problem after power outage events. Our primary proposed methodology is using multi-agent deep reinforcement learning to optimize the load…